Title: A survey on various Alzheimer classification techniques using 3D MRI images: a challenging overview

Authors: Neethu Mecheri; Roopa Jayasingh Jayasingh

Addresses: Department of Electronics and Communication Engineering, Karunya Institute of Technology and Sciences, India ' Department of Electronics and Communication Engineering, Karunya Institute of Technology and Sciences, India

Abstract: This survey presents 50 research papers focussed on various techniques in Alzheimer classification techniques using 3D MRI images, and the categorisation of the techniques is made based on the fusion-based, convolutional neural network (CNN)-based, random forest (RF)-based and support vector machine (SVM)-based approaches. Finally, the analysis is to be promoted in the survey based on the research technique, publication year, employed tools, utilised dataset, performance measures and achievement of the research methodologies towards Alzheimer classification techniques using 3D MRI images. At the end, the research gaps and issues of the techniques for Alzheimer classification techniques using 3D MRI images is to be revealed.

Keywords: Alzheimer classification; convolutional neural network; CNN; random forest; support vector machine; SVM; fusion.

DOI: 10.1504/IJIDS.2025.146702

International Journal of Information and Decision Sciences, 2025 Vol.17 No.2, pp.220 - 236

Received: 03 Nov 2021
Received in revised form: 23 Apr 2022
Accepted: 26 May 2022
Published online: 16 Jun 2025 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article